Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.

🍊 📊 💡 Orange: Interactive data analysis

🆔 A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.

MTEB: Massive Text Embedding Benchmark

A curated list of community detection research papers with implementations.

A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values

Nomic Developer API SDK

The official implementation of RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval

This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.

🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps

SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]

Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and 🔜 video, up to 5x faster than OpenAI CLIP and LLaVA 🖼️ & 🖋️

Time series distances: Dynamic Time Warping (fast DTW implementation in C)

pyclustering is a Python, C++ data mining library.

TensorFlow Similarity is a python package focused on making similarity learning quick and easy.

Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).

A scikit-learn based module for multi-label et. al. classification

A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

A robust streaming log template miner based on the Drain algorithm